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1.

電子ブック

EB
edited by Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Lecture Notes in Mathematics ; 2058
オンライン: http://dx.doi.org/10.1007/978-3-642-32157-3
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目次情報: 続きを見る
1 Introduction to stochastic models in biology
2 One-dimensional homogeneous diffusions
3 A brief introduction to large deviations theory
4 Some numerical methods for rare events simulation and analysis
5 Stochastic Integrate and Fire models: a review on mathematical methods and their applications
6 Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons
7 Deterministic and stochastic FitzHugh-Nagumo systems
8 Stochastic modeling of spreading cortical depression
1 Introduction to stochastic models in biology
2 One-dimensional homogeneous diffusions
3 A brief introduction to large deviations theory
2.

電子ブック

EB
edited by Jerry J. Batzel, Mostafa Bachar, Franz Kappel
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Lecture Notes in Mathematics ; 2064
オンライン: http://dx.doi.org/10.1007/978-3-642-32882-4
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目次情報: 続きを見る
1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
2 Mathematical Modeling of Physiological Systems
3 Parameter Selection Methods in Inverse Problem Formulation
4 Application of the Unscented Kalman Filtering to Parameter Estimation
5 Integrative and Reductionist Approaches to Modeling of Control of Breathing
6 Parameter Identification in a Respiratory Control System Model with Delay
7 Experimental Studies of Respiration and Apnea
8 Model Validation and Control Issues in the Respiratory System
9 Experimental Studies of the Baroreflex
10 Development of Patient Specific Cardiovascular Models Predicting Dynamics in Response to Orthostatic Stress Challenges
11 Parameter Estimation of a Model for Baroreflex Control of Unstressed Volume
1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
2 Mathematical Modeling of Physiological Systems
3 Parameter Selection Methods in Inverse Problem Formulation